Head of AI and Data Platform
United States - Alameda : 2901 Harbor Bay Parkway, United States
USD 172K-344K Executive-level Full Time
Tasks
- Apply observability and evaluation frameworks
- Automate retraining pipelines and A B testing
- Build MLOps infrastructure
- Build feature stores
- Create data lake design
- Create prompt management and evaluation harnesses
- Define AI and data platform technical architecture
- Design RAG pipeline architecture
- Design biosensor data ingestion pipelines
- Develop ML training evaluation and deployment pipelines
- Develop model serving layers
- Ensure HIPAA GDPR and FDA compliance
- Establish AI system design engineering standards
- Implement Responsible-AI guardrails
- Implement experiment tracking and model registry
- Implement real time and batch processing infrastructure
- Integrate LLMs into production systems
- Lead AI and data engineering execution
- Manage AI engineering OKRs KPIs delivery metrics
- Set up model monitoring for production
- Standardize tools and data engineering practices across squads
Perks/Benefits
- Career development
- Education benefit FreeU
- Free medical coverage
- Retirement savings plan
- Student debt program
- Tuition reimbursement
Skills/Tech-stack
A/B | A/B Testing | AWS | Artificial Intelligence | Automated retraining | Azure | B testing | Cloud platform | Data Drift | Data Drift Detection | Data Engineering | Data Lake | Distributed Systems | Drift Detection | Evaluation Frameworks | Event Driven | Event-driven architecture | Experiment tracking | FDA | Feature Store | GDPR | Google Cloud | Google Cloud Platform | HIPAA | LLM | MLOps | Machine Learning | Model Monitoring | Model Registry | Model Serving | Observability | Prompt engineering | Retrieval-Augmented Generation | Streaming Data
Education
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